Karol E. Watson

According to our database, Karol E. Watson authored at least 4 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies.

Artur Wysoczanski, Nabil Ettehadi, Soroush Arabshahi, Yifei Sun, Karen Hinkley Stukovsky, Karol E. Watson, MeiLan K. Han, Erin D. Michos, Alejandro P. Comellas, Eric A. Hoffman, Andrew F. Laine, R. Graham Barr, Elsa D. Angelini

CoRR, 2024

Robust Quantification of Percent Emphysema on CT Via Domain Attention: The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study.

Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Unsupervised Airway Tree Clustering with Deep Learning: the Multi-Ethnic Study of Atherosclerosis (Mesa) Lung Study.

Sneha N. Naik, Elsa D. Angelini, R. Graham Barr, Norrina Allen, Alain Bertoni, Eric A. Hoffman, Ani Manichaikul, Jim Pankow, Wendy Post, Yifei Sun, Karol E. Watson, Benjamin M. Smith, Andrew F. Laine

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography.

Artur Wysoczanski, Elsa D. Angelini, Yifei Sun, Benjamin M. Smith, Eric A. Hoffman, Karen Stukovsky, Matthew J. Budoff, Karol E. Watson, John Jeffrey Carr, Elizabeth C. Oelsner, R. Graham Barr, Andrew F. Laine

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023